CN111856511B - DBS wind field scanning method capable of changing scanning included angle - Google Patents
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
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- G01S17/95—Lidar systems specially adapted for specific applications for meteorological use
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
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Abstract
The invention discloses a DBS wind field scanning method for changing a scanning included angle, which is characterized in that the cone scanning half angle of any shielded wave beam is adjusted to be gamma 1, a rectangular coordinate system is established by taking a radar as an origin, the relation between each radial wind speed and wind direction vector is reconstructed, and three-dimensional wind field information formed by horizontal wind speed, wind direction and vertical air flow can be obtained through continuous radial speed inversion processing in four directions. And then, carrying out detailed analysis on error sources of the improved DBS wind field inversion algorithm, and ensuring that the value range of the cone scanning half angle is strictly controlled so that the measurement precision of the real three-dimensional wind field meets the corresponding requirements. The method can avoid the failure of the conventional algorithm caused by the shielding of the radar scanning beam, and effectively improve the inversion accuracy of the wind field.
Description
Technical Field
The invention belongs to the technical field of DBS wind field inversion based on wind-finding radar, and relates to a DBS wind field scanning method for changing a scanning included angle.
Background
Wind field information is one of main meteorological factors for atmospheric detection, and the time-space change characteristics of the wind field information are important meteorological data, so that strict requirements are placed on accurate detection of wind fields in the fields of conventional weather forecast, disastrous weather monitoring, pollutant drift research, low-altitude wind shear early warning, airplane take-off and landing guarantee and the like. The laser wind-finding radar is a novel wind field detection means, has strong anti-interference capability and high data resolution, and can effectively make up the defects of the weather radar and the wind-finding radar on the low-altitude wind field detection capability. When the wind profile mode (DBS) scanning is carried out, the wind field fluctuation condition from the aircraft resolution height of 30m to 3000m can be accurately monitored, and the fine wind field data support is provided for civil aviation, navigation and take-off and landing of carrier-based aircraft. Under the general condition, when the laser radar performs DBS scanning, four beams with fixed azimuth intervals are required to be accumulated, beams with symmetrical elevation angles are required to be scanned in a conical manner, but the radar installation position is limited due to the influence of natural environment, geographic position, human reasons and the like, so that any scanning beam of the radar is shielded, the conventional DBS wind field inversion algorithm is invalid, and data products such as an air outlet profile, vertical air flow and the like cannot be effectively inverted. In order to ensure the effectiveness of a laser radar DBS wind field inversion algorithm, an improved method for adjusting the cone scanning angle of the blocked beam is provided, then an inversion equation is reconstructed, the horizontal wind speed and the wind direction and the vertical air flow are deduced and obtained, the error sources of the improved DBS wind field inversion algorithm are analyzed in detail, the value range of influence factors is ensured to be strictly controlled, and the real three-dimensional wind field measurement quantity meets the development requirement. To date, few have been reasonably effective in addressing this problem.
Disclosure of Invention
Object of the invention
The purpose of the invention is that: aiming at the defects of the prior art, the variable-angle DBS wind field inversion method with high accuracy and reasonable calculation is provided.
(II) technical scheme
In order to solve the technical problems, the invention provides a DBS wind field scanning method for changing a scanning included angle, which comprises the following steps:
When the variable-angle DBS scanning detection is carried out, the radar 1 normally scans and measures wind field data of the target airspace 2, and sends out beams with four azimuth angles fixed at intervals, and the radar scanning beams are blocked due to the fact that the radar installation position is limited, at the moment, the cone scanning half angle of any blocked beam is adjusted to be gamma 1, and the cone scanning half angles of the other three beams are still gamma. And establishing a rectangular coordinate system by taking a radar as an origin, and reconstructing a relational expression of each radial wind speed and wind direction vector. The radial speeds in four continuous directions can be inverted to obtain the three-dimensional wind field information formed by the horizontal wind speed, the wind direction and the vertical air flow. And the error sources of the improved DBS wind field inversion algorithm are analyzed in detail, so that the value range of the influence factors is ensured to be strictly controlled, and the real three-dimensional wind field detection quantity meets the development requirement.
(III) beneficial effects
Compared with the prior art, the DBS wind field scanning method for changing the scanning included angle has the following beneficial effects:
(1) The accuracy is high.
According to the invention, the azimuth angle theta and the conical scanning elevation angle gamma of the radar beam are read out through the laser radar inclination sensor and the azimuth sensor, and the precondition of 'local uniformity and isotropy' can be completely satisfied due to rapid laser radar scanning. And (3) weather detection is carried out according to a set scanning mode to obtain three-dimensional wind field information formed by horizontal wind speed, wind direction and vertical air flow, and the result is corrected by using a coordinate transformation method in space geometry, so that the wind field information at the target height layer is obtained. Because the sensor is sensitive, even small deviation can be corrected, and the measurement accuracy of the wind field is greatly improved.
(2) The calculation is simple.
Compared with other wind field inversion algorithms, the method has the advantages that the method is not limited by the radar and the installation position of the radar, has fewer scanning beams, can directly detect the convection vertical movement speed of the atmospheric wind field in the vertical direction, ensures the accuracy of the wind field inversion algorithm, and is intuitive and flexible, small in calculation amount and simple in calculation.
According to the invention, the conventional DBS algorithm failure problem caused by beam shielding is improved by adjusting any shielding beam cone scanning angle and reconstructing a wind field inversion equation. The improved back color algorithm widens the measuring conditions of the radar and the installation conditions of the radar, improves the capability of wind field inversion, and solves the problems of harsh using conditions and low measuring accuracy in the prior art.
According to the invention, two radars are selected for comparison test, and the actual wind field data is used for test, so that the feasibility and the correctness of the invention are verified.
The invention is applicable to any wind-finding radar.
Drawings
Fig. 1 is a schematic diagram of a normal radar DBS scan in accordance with the present invention.
Fig. 2 is a schematic diagram of variable angle DBS scanning in the case of any beam occlusion according to the present invention.
Detailed Description
For the purposes of clarity, content, and advantages of the present invention, a detailed description of the embodiments of the present invention will be described in detail below with reference to the drawings and examples.
See fig. 1 and 2. According to the invention, when the variable-angle DBS scanning detection is carried out, the radar (1) normally scans and measures the wind field data of the target airspace (2), and sends out beams with four azimuth angles fixed at intervals, and the radar scanning beams are blocked due to the limitation of the radar installation position, at the moment, the cone scanning half angle of any blocked beam is adjusted to be gamma 1, and the cone scanning half angles of the other three beams are still gamma. And establishing a rectangular coordinate system by taking a radar as an origin, and reconstructing a relational expression of each radial wind speed and wind direction vector. The radial speeds in four continuous directions can be inverted to obtain the three-dimensional wind field information formed by the horizontal wind speed, the wind direction and the vertical air flow. And the error sources of the improved DBS wind field inversion algorithm are analyzed in detail, so that the value range of the influence factors is ensured to be strictly controlled, and the real three-dimensional wind field measurement quantity meets the development requirement.
In fig. 2, the wind field vector is set to remain unchanged during the DBS scan, with the four beam transmit directions being 90 ° apart. Establishing a rectangular coordinate system by taking the position of the radar (1) as an origin, and setting an air vector as (u, v, w), wherein u is along an x-axis, v is along a y-axis, w is along a z-axis, a conical scanning half angle gamma is an included angle between beam pointing and a z positive axis, and a scanning azimuth angle theta takes the x-coordinate positive axis as a 0-degree starting point; namely, the radial wind speeds measured in the four directions are V R1,VR2,VR3,VR4 respectively, the azimuth angle theta 1,θ2,θ3,θ4 and the cone scanning included angle gamma of the four beams of the radar are read out by an inclination angle sensor and an azimuth sensor which are arranged on the radar (1), and the radial speeds in the four scanning directions with the radar (1) as an origin are calculated according to a preset criterion:
If the coordinate axes x, y are respectively overlapped with East and North directions, the four scanning azimuth angles of the wind measuring radar are aligned with the directions E, N, W and S, namely theta 1,θ2,θ3,θ4 is 0 degrees, 90 degrees, 180 degrees and 270 degrees respectively, and then the projection components of the measurable three-dimensional real wind vector on the x, y and z axes are as follows:
If the west beam is shielded, the cone scanning angle in the VRW direction is adjusted to be gamma 1, the cone scanning angles in the other three directions are still gamma, and the radar (1) can scan according to a preset detection mode to measure the three-dimensional wind field information of the horizontal wind speed, the wind direction and the vertical air flow on the actual detection airspace (2).
The three-dimensional wind field projection components after reconstruction are as follows:
Then the horizontal wind speed V H and the horizontal wind direction α are:
in the triangular coordinates, the angle value alpha directly calculated by the arctangent function is not a meteorological wind direction angle value, and the following conversion is needed:
When (when) Time,/>
When (when)Time,/>
After the horizontal wind speed and the horizontal wind direction are calculated, the error sources are estimated as follows:
The same principle can be obtained:
Namely: the horizontal wind speed and direction error is not only related to the radial wind speed error and the conical scanning half angle, but also related to the wind speed, and the value range of the influence factors is strictly controlled, so that the horizontal wind speed and direction error can meet the development requirement.
The results of the present invention were compared using two radars. In the verification of real wind field data, a No. 1 radar is adopted as a standard device, the cone scanning half angles of four beams of the No. 1 radar are all gamma, the cone scanning half angles of four beams of the No. 2 radar are also all gamma, two radars begin to measure at the same time, 1 hour of data is recorded, and the wind field error is calculated; then, setting the No. 2 radar as a cone scanning half angle of a west beam as gamma 1 by using the method, recording 1 hour data, and calculating a wind field error of the radar; comparing the wind field errors of the two periods, the deviation of the two wind field errors is small, the horizontal wind speed error is not more than 0.3m/s, the horizontal wind direction error is not more than 5 degrees, and the vertical air flow error is not more than 0.2m/s. The invention proves to be reliable and effective.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that modifications and variations could be made by those skilled in the art without departing from the technical principles of the present invention, and such modifications and variations should also be regarded as being within the scope of the invention.
Claims (1)
1. The DBS wind field scanning method for changing the scanning included angle is characterized by comprising the following steps of:
S1: when the variable-angle DBS scanning detection is carried out, the radar normally scans and measures wind field data of a target airspace, and sends out beams with four azimuth angles fixed at intervals;
S2: when radar scanning beams are shielded, adjusting the cone scanning half angle of any shielded beam to be gamma 1, and keeping the cone scanning half angles of the other three beams to be gamma unchanged, wherein gamma 1 is not equal to gamma;
S3: establishing a rectangular coordinate system by taking a radar as an origin, and reconstructing a relational expression of each radial wind speed and wind direction vector;
s4: the radial speeds in four continuous directions are subjected to inversion treatment to obtain three-dimensional wind field information formed by horizontal wind speed, wind direction and vertical air flow;
In the process S1, setting a wind field vector to be unchanged in the DBS scanning process, and spacing the transmitting directions of four beams by 90 degrees;
In the process S3, a rectangular coordinate system is established by taking the position of the radar as an origin, and wind vectors are set as (u, v, w), wherein u is along an x-axis, v is along a y-axis, w is along a z-axis, a conical scanning half angle gamma is an included angle between beam pointing and a z-axis, and a scanning azimuth angle theta takes the x-coordinate axis as a 0-degree starting point; namely, the radial wind speeds measured in the four directions are V R1,VR2,VR3,VR4 respectively, the azimuth angles theta 1,θ2,θ3,θ4 and the cone scanning included angles gamma of the four beams of the radar are read out by an inclination angle sensor and an azimuth sensor which are arranged on the radar, and according to a preset criterion, the radial wind speeds taking the radar as an origin point and in the four scanning directions are calculated as follows:
In the process S3, if the coordinate axes x, y are respectively coincident with the East, north directions, the four scanning azimuth angles of the wind-finding radar are aligned with the directions E, N, W, S, that is, θ 1,θ2,θ3,θ4 is 0 °,90 °,180 °,270 °, and then the projection component V RE,VRN,VRW,VRS of the measurable three-dimensional real wind vector on the x, y, z axes is:
in the process S4, if the west beam is blocked, the cone scanning angle in the V RW direction is adjusted to be γ 1, the cone scanning angles in the other three directions remain γ, and the radar scans according to a predetermined detection mode to measure the three-dimensional wind field information of the horizontal wind speed, wind direction and vertical air flow in the actual detection airspace;
The three-dimensional wind field projection components after reconstruction are as follows:
Then the horizontal wind speed V H and the horizontal wind direction α are:
in the triangular coordinates, the angle value alpha directly calculated by the arctangent function is not a meteorological wind direction angle value, and the following conversion is needed:
When (when) Time,/>
When (when)Time,/>
The DBS wind field scanning method for changing the scanning included angle further comprises an error analysis process: after the horizontal wind speed and the horizontal wind direction are calculated, the error sources are estimated as follows:
The same principle can be obtained:
Namely: the horizontal wind speed and direction error is not only related to the radial wind speed error and the conical scanning half angle, but also related to the wind speed, and the value range of the influence factors is strictly controlled, so that the horizontal wind speed and direction error can meet the development requirement.
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| CN113138374B (en) * | 2021-04-08 | 2023-06-02 | 北京观详光电技术有限公司 | Laser radar wind field data reconstruction method and system |
| CN114325666A (en) * | 2021-12-31 | 2022-04-12 | 四川知周科技有限责任公司 | Coherent heterodyne wind measuring radar correction method under high-speed motion |
| CN115097770B (en) * | 2022-08-25 | 2022-11-29 | 中关村科学城城市大脑股份有限公司 | Automatic shielding system, shielding device control method, electronic device, and medium |
| CN115980786B (en) * | 2022-12-20 | 2023-07-25 | 中国能源建设集团广东省电力设计研究院有限公司 | Wind profile monitoring method and system |
| CN118982631A (en) * | 2024-07-24 | 2024-11-19 | 无锡智鸿达电子科技有限公司 | A method, device and electronic equipment for constructing a three-dimensional wind field based on multiple radars |
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| JPS6227686A (en) * | 1985-07-29 | 1987-02-05 | Nec Corp | Active acoustic homing apparatus for submerged navigating body |
| US5930019A (en) * | 1996-12-16 | 1999-07-27 | Fuji Xerox Co., Ltd. | Light scanning device, optical device, and scanning method of optical device |
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| CN102508222B (en) * | 2011-11-18 | 2013-10-16 | 中国科学技术大学 | Middle and upper atmospheric wind field retrieval method |
| WO2013079099A1 (en) * | 2011-11-29 | 2013-06-06 | Flidar | Motion-stabilised lidar and method for wind speed measurement |
| FR3068139B1 (en) * | 2017-06-21 | 2019-12-20 | IFP Energies Nouvelles | PROCESS FOR ACQUISITION AND MODELING BY AN LIDAR SENSOR OF AN INCIDENT WIND FIELD |
| DE102018001172A1 (en) * | 2018-02-15 | 2019-08-22 | Universität Stuttgart | Control system for controlling a turbine, method for controlling a turbine and wind turbine |
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| CN110456382B (en) * | 2019-07-12 | 2023-02-21 | 中国海洋大学 | Measurement method of wind vector in non-uniform wind field based on single-Doppler lidar |
| CN110596787A (en) * | 2019-08-29 | 2019-12-20 | 成都锦江电子系统工程有限公司 | Precipitation estimation method based on X-band all-solid-state dual-polarization rainfall radar |
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Non-Patent Citations (2)
| Title |
|---|
| 3维激光测风雷达技术研究;李策等;激光技术;第41卷(第5期);正文第704-705页 * |
| 机动型激光测风雷达倾斜风场修正算法研究;李策;刘俊伟;赵培娥;周杰;谢日华;罗雄;周鼎富;;激光技术(第03期);全文 * |
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